Variation in emergency department triage of acute myocardial infarction patients, the effect on outcomes, and predictors of low triage
Bibliographic record
Abstract
Conclusion. Half of AMI patients are given a low ED triage score, which is associated with substantial delay to thrombolysis. Background. Emergency department (ED) triage of patients with acute myocardial infarction (AMI) has not been examined. Results. The rate of low triage was 50.3%. Low triage was associated with significantly longer median door-to-ECG and door-to-needle times (by 4 and 15 minutes, respectively). Mortality was not associated with triage. Several variables were independent predictors of low triage. Methods. The EFFECT database contains population-based chart review data on AMI patients in Ontario from 1999 to 2001. We utilized EFFECT data to determine the rate of low triage, defined as a score of III, IV, or V on the Canadian Triage and Acuity Scale, among 3088 patients. Multivariable modeling was used to determine the association between low triage and door-to-ECG time, door-to-needle time, and 30-day mortality, and to assess predictors of low triage.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".